Sangiovese is the most widespread Italian red grape cultivar and it constitutes the basis of internationally known wines. It has a large diversity of clones whose performances vary with environmental conditions due to weather and soil interactions. In this study, the performance of grape from seven Sangiovese clones was evaluated by analysing grapes from four vineyards in the Chianti Classico Region in Tuscany over the ripening period. In order to assess the oenological eligibility of grape clones, a grape reference model was developed using chemical parameters from commercially available Sangiovese wines, performing a soft independent modelling of class analogy (SIMCA).

Enological eligibility of grape clones based on the simca method: The case of the sangiovese cultivar from tuscany / Canuti V.; Puccioni S.; Storchi P.; Zanoni B.; Picchi M.; Bertuccioli M.. - In: ITALIAN JOURNAL OF FOOD SCIENCE. - ISSN 1120-1770. - ELETTRONICO. - 30:(2018), pp. 184-199.

Enological eligibility of grape clones based on the simca method: The case of the sangiovese cultivar from tuscany

Canuti V.
;
Puccioni S.;Storchi P.;Zanoni B.;Picchi M.;Bertuccioli M.
2018

Abstract

Sangiovese is the most widespread Italian red grape cultivar and it constitutes the basis of internationally known wines. It has a large diversity of clones whose performances vary with environmental conditions due to weather and soil interactions. In this study, the performance of grape from seven Sangiovese clones was evaluated by analysing grapes from four vineyards in the Chianti Classico Region in Tuscany over the ripening period. In order to assess the oenological eligibility of grape clones, a grape reference model was developed using chemical parameters from commercially available Sangiovese wines, performing a soft independent modelling of class analogy (SIMCA).
2018
30
184
199
Canuti V.; Puccioni S.; Storchi P.; Zanoni B.; Picchi M.; Bertuccioli M.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1165327
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